Lyudmila V. Slipchenko

Lyudmila Slipchenko develops and applies computational chemistry methods to understand how molecules interact, especially in complex environments like proteins and solvents. Her work focuses on quantum chemistry techniques such as the effective fragment potential (EFP) method, combined with machine learning approaches, to model electronic structure, light absorption, and molecular interactions efficiently and accurately. This research supports applications ranging from drug-ligand binding to photosynthetic light-harvesting and materials for light emission.

Publication output has fluctuated over the last decade with peaks around 2017 and 2020, and has moderated in recent years, averaging about 4-5 papers annually over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026